Yes you can with machine learning. Soon. You train, add points, train with problem point and/or tweaking parameters. @weefuzzy will confirm but this is what is happening under the hood anyway in nmf, reducing the error by iteratively training… @groma and him keep telling me that nmf is a sort of unsupervised yet seedable classifier… now they will correct me here if I say stupid(er than usual) things